Abstract
Vehicular crowdsourcing networks (VCNs) enable vehicles to provide or obtain traffic-related services in a costefficient and flexible manner. Therefore, it is crucial to provide trusted management in VCNs for high reliability towards both service producers and consumers. However, most recent VCN platforms rely on a third party to manage crowdsourcing services which might be not fully trusted by users. For the issue, this paper proposes a blockchain-based trust management scheme for VCNs to provide a decentralized and trusted service management. A comprehensive trust evaluation model (TEM) is designed to quantify the trust degree of each vehicular node, and a vehicle-trust blockchain framework called VTchain is proposed to preserve the trust values of nodes while guaranteeing transparency and trustworthiness. Particularly, we leverage a trusted execution environment (TEE) to provide secure trust evaluation to tackle possible untrusted road-side units. In addition, we introduce TEM-based Proof of Trust to support blockchain maintenance, which works together with an efficient consensus algorithm Zyzzyva for improved scalability. Finally, extensive experiments are conducted by developing a testbed deployed on cloud servers for measurements.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020 |
| Redaktører | Guojun Wang, Ryan Ko, Md Zakirul Alam Bhuiyan, Yi Pan |
| Forlag | IEEE |
| Publikationsdato | 2020 |
| Sider | 1950-1955 |
| Artikelnummer | 9342990 |
| ISBN (Elektronisk) | 9780738143804 |
| DOI | |
| Status | Udgivet - 2020 |
| Begivenhed | 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020 - Guangzhou, Kina Varighed: 29 dec. 2020 → 1 jan. 2021 |
Konference
| Konference | 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020 |
|---|---|
| Land/Område | Kina |
| By | Guangzhou |
| Periode | 29/12/2020 → 01/01/2021 |